Data Quality Engineer
Data Quality Engineer
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Job Description
Job Title: Data Quality Engineer
Location: Dallas TX Hybrid
Duration: 6 Months Contract
LinkedIn must
Job Description:
Job Requirements Data Quality Engineer
Job Requirements:
Must Haves Skills
Extensive experience as Data Engineer with Python Language and Cloud Technologies (AWS preferably).
Experience in Automating ETL process/Pipelines and AWS Data & Infrastructure with Python.
Extensive experience with AWS components like S3 Athena EMR Glue Redshift Kinesis and SageMaker.
Extensive Experience with SQL/Unix/Linux scripting.
Developing/testing Experience on Cloud/On Prem ETL Technologies (Ab Initio AWS Glue Informatica Alteryx).
Experience in Data migration from Onprem to Cloud is Plus.
Experienced in largescale application development testing Cloud/ On Prem Data warehouse Data Lake Data Science.
Extensive experience in DevOps/Data Ops space.
Having experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O is plus.
Work Description SDET Python AWS Unix and ETL.
Work with business stakeholders Business Systems Analysts and Developers to ensure delivery of Data Applications.
Building Automation Frameworks using Python.
Designing and managing the data workflows using Python during development and deployment of data products
Design development of Reports and dashboards.
Analyzing and evaluating data sources data volume and business rules.
Should be well versed with the Data flow and Test Strategy for Cloud/ On Prem ETL Testing.
Interpret and analyses data from various source systems to support data integration and data reporting needs.
Experience in testing Database Application to validate source to destination data movement and transformation.
Work with team leads to prioritize business and information needs.
Develop and summarize Data Quality analysis and dashboards.
Knowledge of Data modeling and Data warehousing concepts with emphasis on Cloud/ On Prem ETL.
Execute testing of data analytic and data integration on time and within budget.
Troubleshoot & determine best resolution for data issues and anomalies
Has deep understanding of data architecture & data modeling best practices and guidelines for different data and analytic platforms
Nice to Have Skills
Experience using Jenkins and Gitlab
Experience using both Waterfall and Agile methodologies.
Experience in testing storage tools like S3 HDFS
Experience with one or more industrystandard defect or Test Case management Tools
Soft Skills
Great communication skills (regularly interacts with cross functional team members)
Who takes Ownership to complete the tasks on time with less supervision
Guiding developers and automation teams in case of an issue
Monitoring reviewing and managing technical operations
Effective problemsolving expertise trouble shooting code debugging and root cause analysis skills.
Employment Type
Full Time
